| Intelligent Transportation System is the future development direction of traffic System. Itis the advanced information, data communication, electronic sensor, automatic control andcomputer technology integration effectively, such as applied to the whole ground trafficmanagement, and establish a large range, all-round function, real-time, accurate and efficientintegrated transportation management system. ITS can effectively use the existing trafficfacilities, ensure the safety of traffic, the urban traffic, public security management foreffective control, in order to satisfy people travel demand and the increasing of various kindsof comprehensive business requirements. Therefore, the results of the system in-depthunderstanding and objective evaluation is very necessary.This paper follows the information management system of the principle of design anddevelopment should be complementary to each other, puts forward A comprehensiveevaluation of intelligent transportation system to the city of principles, methods, designs theevaluation process. First of all, the construction of evaluation system chose the analytichierarchy process (ahp), A city intelligent transportation system of multiple evaluation index,index of each specific quantitative methods, the reasonable numerical range and to calculateand determine the weight of each index. Secondly, using the proposed by professor dengjulong grey clustering method, for A city to improve the comprehensive evaluation ofintelligent transportation system, it is concluded that the current A city intelligenttransportation system construction achievements grade level, on the basis of reasonableadvice, scientific reference. Then, based on the evaluation results on the basis of this paper byusing the grey correlation method of subsystems of the construction of the late comparingalternatives, sorting, and then draw a more close to the actual and ideal solution. At the sametime, also in this paper, hoping to establish the evaluation system of small and medium-sizedurban intelligent traffic system, to provide reasonable Suggestions for transportation policymakers, provide more scientific reference for public transport policy makers.Through comprehensive evaluation, the judge concluded that the current city intelligenttraffic system hardware level belongs to B level, level of safety benefit belongs to the class C, only D level of public transportation support, and scientific organization and managementlevel is the most backward E. Comprehensive factors of four level of evaluation index, theoverall level A city intelligent transportation system is D as A result, the overall level is nothigh, belongs to the lower level, you can see the main cause of this result in the system isachieved, the contribution level of safety benefits of general, intelligent transportation systemto the local public transport support level almost didn’t get development, and has contributedA lot to the early stage of the planning, construction after the completion of the operation ofthe scientific organization and management level has much room to improve. Based on theevaluation, can provide reasonable Suggestions for transportation policy makers, providemore scientific reference for public transport policy makers. |